diff --git a/docs/clearml_serving/clearml_serving.md b/docs/clearml_serving/clearml_serving.md
index d3009cd2..58750715 100644
--- a/docs/clearml_serving/clearml_serving.md
+++ b/docs/clearml_serving/clearml_serving.md
@@ -43,8 +43,8 @@ solution.
 
 * **CLI** - Secure configuration interface for on-line model upgrade/deployment on running Serving Services
 
-* **Serving Service Task** - Control plane object storing configuration on all the endpoints. Support multiple separated 
-  instance, deployed on multiple clusters.
+* **Serving Service Task** - Control plane object storing configuration on all the endpoints. Supports multiple separate 
+  instances, deployed on multiple clusters.
 
 * **Inference Services** - Inference containers, performing model serving pre/post-processing. Also supports CPU model 
   inferencing.
diff --git a/docs/clearml_serving/clearml_serving_tutorial.md b/docs/clearml_serving/clearml_serving_tutorial.md
index 206c798f..7251190c 100644
--- a/docs/clearml_serving/clearml_serving_tutorial.md
+++ b/docs/clearml_serving/clearml_serving_tutorial.md
@@ -199,7 +199,7 @@ The default docker-compose installation is preconfigured with Prometheus and Gra
 of both containers is *not* persistent. To add persistence, we recommend adding a volume mount.
 
 You can also add many custom metrics on the input/predictions of your models. Once a model endpoint is registered, 
-adding custom metric can be done using the CLI.
+adding custom metrics can be done using the CLI.
 
 For example, assume the mock scikit-learn model is deployed on endpoint `test_model_sklearn`, you can log the requests 
 inputs and outputs (see examples/sklearn/preprocess.py example):
diff --git a/docs/hyperdatasets/webapp/webapp_datasets_frames.md b/docs/hyperdatasets/webapp/webapp_datasets_frames.md
index 48f62f04..93b84273 100644
--- a/docs/hyperdatasets/webapp/webapp_datasets_frames.md
+++ b/docs/hyperdatasets/webapp/webapp_datasets_frames.md
@@ -3,7 +3,7 @@ title: Working with Frames
 ---
 
 View and edit SingleFrames in the Dataset page. After selecting a Hyper-Dataset version, the **Version Browser** shows a sample 
-of frames and enables viewing SingleFrames and FramesGroups, and edit SingleFrames, in the [frame viewer](#frame-viewer). 
+of frames and enables viewing SingleFrames and FramesGroups, and editing SingleFrames, in the [frame viewer](#frame-viewer). 
 Before opening the frame viewer, you can filter the frames by applying [simple](#simple-frame-filtering) or [advanced](#advanced-frame-filtering) 
 filtering logic.